Yellowfin Services Training Support

Via its business intelligence platform, Yellowfin provides 100% web-based embeddable reporting and analytics. With partners across Europe, America and Asia, Yellowfin says it prides itself as being best of breed in embeddable BI. The vendor’s value proposition is that the ease of integration and use allows Yellowfin to add value to all of their partner’s applications by providing data access and visualisation to all users, not just IT personnel. Yellowfin has been designed from the ground up to be embedded into third party applications. Additionally, the vendor says through an SOA, Yellowfin can be tightly integrated into any application delivering ease of use and real-time data analysis, through ad-hoc reporting and real-time dashboards, to business users that need to make rapid decisions.

Yellowfin Features

BI Platform Features

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

Supported Data Sources Features

Data sources that can be consumed by the application.

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

SAP

Google Analytics

BI Standard Reporting Features

Standard reporting means pre-built or canned reports available to users without having to create them.

Customizable dashboards

Report Formatting Templates

Ad-hoc Reporting Features

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Formatting capabilities

Predictive modeling

Integration with R or other statistical packages

Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report Delivery Scheduling

Data Discovery and Visualization Features

Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Integration with R or other statistical packages

Access Control and Security Features

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Report-Level Access Control

Table-Level Access Control (BI-layer)

Field-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

Dedicated iOS Application

Dedicated Android Application

Dashboard / Report / Visualization Interactivity on Mobile

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

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We work with our clients in improving business performance, increasing profitability to reducing costs and making better use of people and resources. Since 2007, Bilytica and its brilliant team are connecting people, data and advanced analytics together.